Melody extraction from music using modified group delay functions

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• 作者：Rajeev Rajan ; Manaswi Misra ; Hema A. Murthy
• 关键词：Group delay ; Modified group delay ; system ; Modified group delay ; source ; Pitch extraction for music
• 刊名：International Journal of Speech Technology
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：20
• 期：1
• 页码：185-204
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Signal,Image and Speech Processing; Social Sciences, general; Artificial Intelligence (incl. Robotics);
• 出版者：Springer US
• ISSN：1572-8110
• 卷排序：20

文摘

Modified group delay based algorithms for estimation of melodic pitch sequences from heterphonic/polyphonic music are discussed in this paper. Two different variants of the modified group delay function are proposed, namely, (a) system based—MODGD (Direct) and (b) source based—MODGD (Source). In (a) the standard modified group delay function (MODGDF) is used to estimate prominent melodic pitch (\(f_0\)), which appears like a low frequency formant in the MODGDF spectrum. In (b), the power spectrum of the signal is first flattened to emphasise the source. The flattened power spectrum behaves like a sinusoid in noise, the frequency of the sinusoid being related to the pitch frequency. The modified group delay function of this signal produces peaks at \(T_0\), \(2T_0, \ldots ,\) where \(T_0=\frac{1}{f_0}\). Continuity constraints in a dynamic programming framework are imposed across frames to reduce octave errors. Sudden changes in pitch are accommodated by changing the frame size dynamically using a multi-resolution framework. The performance of the proposed systems was evaluated on four datasets: ADC-2004, LabROSA, MIREX-2008 and Carnatic music dataset. The performance of the proposed approaches demonstrate the potential of the group delay based methods for melody extraction.